Photos | Japanese Signage Illuminating the Night
A vibrant sign with Japanese writing shines brightly against the night sky amidst the bustling district of Okachimachi in Tokyo, Japan. Captured during a 2003 trip, the intricate characters convey information that ranges from a menu to hardware, computer components to credit cards to symbols and more.
BLIP-2 Description:
a sign with japanese writing on it at nightMetadata
Capture date:
Original Dimensions:
640w x 480h - (download 4k)
Usage
Dominant Color:
Location:
とっ ボール 二 menu 人 で symbol 公園 幼児 めいわく こと 入る 傷つけ 事務 かけ okachimachi ましょう に 花火 打ち上げ やめ みんな なかよく 守り て trip が screen 前 者 japan nishishinjuku 出る 野球 へ credit card など 投げ 目 の 所 四 plaque 遊ぶ 都 方 三 つぎ 危い 付き添う 電話 たり し 自車 する monitor とき 児童 hardware 区 保護 や 必ず document 利用 連れ しま sign 遊園 computer ほか は 遊び 黑 木 text よう 石 音 乗る ない 東京 犬 目黒 を 花 就学 electronics まし
Detected Text
flash fired
true
metering mode
5
aperture
f/2.5
focal length
6mm
shutter speed
1/30s
camera make
CASIO COMPUTER CO.,LTD.
camera model
overall
(4.68%)
curation
(25.00%)
highlight visibility
(1.99%)
behavioral
(10.13%)
failure
(-0.51%)
harmonious color
(-3.56%)
immersiveness
(0.15%)
interaction
(1.00%)
interesting subject
(-86.67%)
intrusive object presence
(-7.30%)
lively color
(6.60%)
low light
(26.93%)
noise
(-3.78%)
pleasant camera tilt
(-8.12%)
pleasant composition
(-16.49%)
pleasant lighting
(-24.40%)
pleasant pattern
(6.91%)
pleasant perspective
(-0.24%)
pleasant post processing
(-3.34%)
pleasant reflection
(-3.08%)
pleasant symmetry
(1.25%)
sharply focused subject
(4.25%)
tastefully blurred
(-1.71%)
well chosen subject
(5.97%)
well framed subject
(46.07%)
well timed shot
(2.68%)
all
(-2.19%)
* NOTE: This image was scaled up from its original size using an AI model called GFP-GAN (Generative Facial Prior), which is a
Generative adversartial network that can be used to repair (or upscale in this case) photos, sometimes the results are a little...
weird.
* WARNING: The title and caption of this image were generated by an AI LLM (gpt-3.5-turbo-0301
from
OpenAI)
based on a
BLIP-2 image-to-text labeling, tags,
location,
people
and album metadata from the image and are
potentially inaccurate, often hilariously so. If you'd like me to adjust anything,
just reach out.